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Junior Data Scientist, Analytics

Jobright.ai • Full-time • New York, United States, US • 10h ago

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Job Summary:

Meta Platforms, Inc. (Meta) is a technology company that builds tools to connect people and grow businesses. They are seeking a Data Scientist, Analytics to collect and analyze data to inform product decisions and support product launches, while collaborating with various teams to identify trends and opportunities.

Responsibilities:

• Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products.

• Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.

• Partner with Product and Engineering teams to solve problems and identify trends and opportunities.

• Inform, influence, support, and execute our product decisions and product launches.

• May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure.

• Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.

• Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

Qualifications:

Required:

• Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field and two years of work experience in the job offered or in a computer-related occupation

• Requires two years of experience in the following:

• 1. Performing quantitative analysis including data mining on highly complex data sets

• 2. Data querying language: SQL

• 3. Scripting language: Python

• 4. Statistical or mathematical software including one of the following: R, SAS, or Matlab

• 5. Applied statistics or experimentation, such as A/B testing, in an industry setting

• 6. Machine learning techniques

• 7. ETL (Extract, Transform, Load) processes

• 8. Relational databases

• 9. Large-scale data processing infrastructures using distributed systems

• 10. Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics

Company:

Meta is a social technology company that enables people to connect, find communities, and grow businesses. Founded in 2004, the company is headquartered in Menlo Park, California, USA, with a team of 10001+ employees. The company is currently Public Company. Meta has a track record of offering H1B sponsorships.